Results 31 to 40 of about 159,079 (225)
TMC4 localizes to multiple taste cell types in the mouse taste papillae
Transmembrane channel‐like 4 (TMC4), a voltage‐dependent chloride channel, plays a critical role in amiloride‐insensitive salty taste transduction. TMC4 is broadly expressed in all mature taste cell types, suggesting a possible involvement of multiple cell types in this pathway.
Momo Murata +6 more
wiley +1 more source
Bridging the Vocabulary Gap: Using Side Information for Deep Knowledge Tracing
Knowledge tracing is a crucial task in personalized learning that models student mastery based on historical data to predict future performance. Currently, deep learning models in knowledge tracing predominantly use one-hot encodings of question ...
Haoxin Xu +5 more
doaj +1 more source
Exploring the AI competencies of elementary school teachers in South Korea
Although the importance of K–12 artificial intelligence (AI) education grows, the lack of teacher readiness hinders the integration of AI in schools. To address this issue, this study aimed to explore South Korean elementary school teachers' experiences ...
Keunjae Kim, Kyungbin Kwon
doaj +1 more source
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
SIRT4 positively regulates autophagy via ULK1, but independently of HDAC6 and OPA1
Cells expressing SIRT4 (H161Y), a catalytically inactive mutant of the sirtuin SIRT4, fail to upregulate LC3B‐II and exhibit a reduced autophagic flux under stress conditions. Interestingly, SIRT4(H161Y) promotes phosphorylation of ULK1 at S638 and S758 that are associated with inhibition of autophagy initiation.
Isabell Lehmkuhl +13 more
wiley +1 more source
This scholarly inquiry examines the interplay between artificial intelligence (AI) and academic integrity within higher education. Through a comprehensive synthesis of academic literature, the study delves into the multifaceted implications of AI tools ...
David S. Fowler
doaj +1 more source
Single‐molecule DNA flow‐stretch assays for high‐throughput DNA–protein interaction studies
We describe an optimised single‐molecule DNA flow‐stretch assay that visualises DNA–protein interactions in real time. Linear DNA fragments are tethered to a surface and stretched by buffer flow for fluorescence imaging. Using λ and φX174 DNA, this protocol enhances reproducibility and accessibility, providing a versatile approach for studying diverse ...
Ayush Kumar Ganguli +8 more
wiley +1 more source
Large language models (LLMs) are increasingly being applied to clinical tasks, but it remains unclear whether medical-specific models consistently outperform smaller, generalpurpose ones.
Wafa Lakhdhar +4 more
doaj +1 more source
EXPLORING NEW HORIZONS IN EDUCATION: SELF-DISCLOSED READINESS AND KEY ELEMENTS IN IMPLEMENTING AI FOR EDUCATIONAL PURPOSES [PDF]
Modern developments in AI and machine learning have the possible ways to improve both the learning experiences for students and the capacity of educators.
Asma Abdulmana Alhamad
doaj +1 more source
ABSTRACT As global populations age, cancer is increasingly becoming a leading cause of morbidity and mortality among older adults, particularly in low‐ and middle‐income countries (LMICs). Despite accounting for the majority of new cancer cases and deaths, older individuals remain underrepresented in cancer research, clinical guidelines, and health ...
Ibrahim Bidemi Abdullateef +2 more
wiley +1 more source

